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continuous-monitor

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업데이트2026년 7월 21일 11:43

Unattended, scheduled monitoring of external sources (arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed, bioRxiv/medRxiv, GDELT, Hacker News) for operator-selected current-events DOMAINS (monitoringDomains[], weighted, momentum-ranked, digest output) or for a research topic (the topic-bound special case), gated end to end through a mandatory human Editorial Gate before anything publishes. An OPTIONAL methodology pack (enable the `continuous-monitor` pack AND configure a domain or a topic's continuousMonitoring block). Use this skill when the user wants to enable, inspect, or manually run continuous monitoring for a domain or topic, review a run's digest or candidate recommendations, or check the Continuity Log for a skipped/failed source. Triggers on 'continuous monitoring', 'monitor this domain', 'monitor this topic', 'monitoring digest', 'schedule research monitoring', 'check for new sources', 'run the monitoring pipeline', 'review monitoring recommendations'.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

modeled-information-format

modeled-information-format/research-harness-template

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

관련 직업SOC

SOC 직업 분류 기준

기타 생물 과학자생명, 물리, 사회과학직·SOC 19-1029

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SKILL.md

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이 저장소의 다른 Skills

같은 저장소

publish-blog

modeled-information-format/research-harness-template

Render surviving research findings into a publishable blog post through the typed findings-to-artifact contract. A first-class harness output (not a pack). Use this skill when the user wants to turn research into a blog post, publish findings, draft an article from the corpus, or write up what the research found. Triggers on 'publish blog', 'blog post from research', 'write up these findings', 'draft an article', 'turn this into a post'.

2026-07-203

book-author

modeled-information-format/research-harness-template

Render surviving research findings into a book chapter through the typed findings-to-artifact contract. An OPTIONAL channel pack (enable the `book` pack to use it), supporting the full genre range. Use this skill when the user wants to author a book, write a chapter from the research, turn the corpus into long-form, or build a manuscript. Triggers on 'write a book', 'author a chapter', 'book from research', 'turn this into a chapter', 'long-form from the corpus', 'manuscript'.

2026-07-203

ontology-manager

modeled-information-format/research-harness-template

Create, validate, inspect, and convert MIF ontology definition files. Use when the user asks to: create a new ontology, scaffold an ontology, validate an ontology YAML, inspect ontology contents (entities, traits, relationships, namespaces, discovery patterns), convert between YAML and JSON formats, convert to JSON-LD, or get guidance on MIF ontology structure. Triggers on: "ontology", "create ontology", "validate ontology", "inspect ontology", "convert ontology", "ontology schema", "entity types", "traits", "discovery patterns", "namespace hierarchy".

2026-07-143

diataxis-docs

modeled-information-format/research-harness-template

Render a research topic's entire surviving findings corpus into a COMPLETE Diátaxis documentation set — a reference page per finding, a per-dimension explanation, how-to, and guided tutorial, plus landing/index pages — every page carrying MIF Level-1 frontmatter and a diataxis_type marker. An OPTIONAL channel pack (enable the `diataxis` pack). Use this skill when the user wants documentation for a research topic, a full docs set from the findings, or to publish the corpus as Diátaxis docs. Triggers on 'diataxis docs', 'documentation channel', 'render docs from research', 'document the findings', 'reference and explanation docs', 'generate the docs site'.

2026-07-143

ai-spec

modeled-information-format/research-harness-template

Render a topic's surviving findings into an AI-ready, agent-executable architecture spec. A genre-shaping of the artifact -> Markdown pipeline (not a new mechanism) — finding_refs become grounded evidence sections, the goal's completion checks become EARS acceptance criteria, and the artifact sections become the document structure. Use to turn research into a buildable spec a downstream coding agent executes.

2026-07-123

modeled-information-format/research-harness-template

Search the MIF research index — find findings by free-text query or by structured filters over the index fields (dimension, tags, namespace, verdict). Use this skill when the user wants to find research findings, look up what is known about a subject, query findings, or asks 'what do I have on X', 'find findings about Y', 'search research for Z', 'what research', 'what findings'. Reads the projected index, not raw tag files.

2026-07-053

name	continuous-monitor
description	Unattended, scheduled monitoring of external sources (arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed, bioRxiv/medRxiv, GDELT, Hacker News) for operator-selected current-events DOMAINS (monitoringDomains[], weighted, momentum-ranked, digest output) or for a research topic (the topic-bound special case), gated end to end through a mandatory human Editorial Gate before anything publishes. An OPTIONAL methodology pack (enable the `continuous-monitor` pack AND configure a domain or a topic's continuousMonitoring block). Use this skill when the user wants to enable, inspect, or manually run continuous monitoring for a domain or topic, review a run's digest or candidate recommendations, or check the Continuity Log for a skipped/failed source. Triggers on 'continuous monitoring', 'monitor this domain', 'monitor this topic', 'monitoring digest', 'schedule research monitoring', 'check for new sources', 'run the monitoring pipeline', 'review monitoring recommendations'.
version	0.16.25
argument-hint	<domain-or-topic-id> [<run-id>]
allowed-tools	Read, Bash, Glob, Grep

continuous-monitor — scheduled external-source monitoring with a mandatory human gate

Continuous monitoring is a methodology pack (SPEC §7b): it contributes a background research-discovery capability the same way competitive-analysis or trend-modeling contribute a research dimension, except its normal caller is a scheduled GitHub Actions workflow rather than an interactive dimension-analyst fan-out. Enable the bundled continuous-monitor pack (scripts/pack-toggle.sh continuous-monitor on) AND opt a topic in via its own continuousMonitoring block in harness.config.json (see How to enable continuous research monitoring) — both gates must be on; either one alone does nothing (research-harness-template#483).

Why this pack is invoked two different ways

Every other pack in this harness is invoked by an agent reading its SKILL.md inside an interactive Claude Code session. This pack's actual production callers are .github/workflows/monitor.yml (Phase 1: run the pipeline, open a review PR) and .github/workflows/monitor-gate.yml (Phase 2: react to that PR closing, publish or reject) — both invoke this pack's scripts/ directly by path, exactly the way packs/channels/diataxis's scripts/render-diataxis.sh is invoked directly rather than through a chat turn. The canonical sources of those two workflows ship inside this pack (workflows/, delivered by copier — .github/workflows/* itself is copier-excluded, #517); an instantiated clone materializes them with bash scripts/install-monitoring-workflows.sh, and verify.sh's gate_monitoring_workflow_sync keeps every installed copy byte-identical to its pack source. A pack's scripts/ directory has always been callable this way; continuous monitoring is simply the first pack whose primary caller is unattended CI rather than a human prompt. This SKILL.md documents the same pipeline for interactive/manual use (inspecting a run, re-triggering it by hand, debugging a stuck topic) — it is not a second implementation, just the human-facing entry point onto the exact same scripts the workflows call.

Pipeline

Source Connectors -> Interest-Inference -> Recommendation Engine
  -> [review PR: the Editorial Gate] -> Output Router -> reports/<topic>/findings/

Script	What it does
`scripts/run-monitoring.sh <subject> <run-id>`	Phase 1 orchestrator. `<subject>` resolves against `monitoringDomains[]` first (#521 -- first-class current-events domains, runs under `reports/_monitoring/<id>/runs/`), then a topic's `continuousMonitoring` block (topic-bound runs under `reports/<topic>/monitoring/runs/`). Checks the pack gate, runs enabled Source Connectors under a budget, scores via Interest-Inference, momentum-ranks with prior-coverage suppression (#523), writes `recommendations.json` and the versioned `digest.md` (#524). Stops before the Editorial Gate.
`scripts/render-digest.sh <recommendations.json> <subject> <run-id>`	Renders the per-run digest (format marker `Digest format: v1`): per candidate a headline, domain/weight, momentum evidence, relevance, prior-coverage status, and source URLs. The review PR's body in Actions; the operator's in-session review surface.
`scripts/run-with-budget.sh`	Wraps one connector in a hard wall-clock `timeout`; fails closed and logs to the Continuity Log rather than partial-succeeding.
`scripts/connectors/{arxiv,openalex,crossref,semantic-scholar,pubmed,biorxiv,gdelt,hn}.sh`	The eight keyless Source Connectors. Query-taking connectors accept `<query>` as a JSON array of atomic terms/phrases (what `run-monitoring.sh` passes from `queryTerms[]`) or a plain string treated as one term, and dispatch per the target API's own query grammar (#513): phrase-quoted boolean OR in one request (arXiv, PubMed, GDELT) or one request per term with merge/dedup (HN, OpenAlex, Crossref, Semantic Scholar). GDELT detects its HTTP-200 plaintext rate-limit notice and retries once after `GDELT_RETRY_DELAY_SECONDS` (default 6) before failing closed with the true cause (#515).
`scripts/interest-inference.sh`	Scores candidates against the monitored topic's own concordance nodes (`--topic`, #514) plus the topic's queryTerms as a first-class signal, with a TF-IDF fallback when neither matches.
`scripts/recommend.sh`	`interest-match` (cross-source merge + momentum ranking with recorded factors, prior-coverage suppression via `--memory`, #523) and `gap-detect` (coverage-gap suggestions) modes.
`scripts/editorial-gate.sh`	The mandatory human-review checkpoint: splits recommendations into accepted/rejected per a decisions map, fail-safe default (no decision = rejected).
`scripts/output-router.sh`	Hands Editorial-Gate-accepted recommendations to the harness's existing `scripts/write-finding.sh`/`scripts/check-citation-integrity.sh` — no bespoke publish path.
`scripts/run-gate-and-publish.sh <subject> <run-id> <recommendations.json> <merged>`	Phase 2 orchestrator: builds a whole-batch accept/reject decision from a PR's merged state, runs `editorial-gate.sh`, appends accepted items to the prior-coverage memory (its ONLY writer, #523), then `output-router.sh` (skipped by design for a standalone domain -- the digest is its deliverable).

Manual invocation

Run a monitoring pass for one subject by hand (the same call monitor.yml makes) -- <subject> is a monitoringDomains[] id or a topic id:

bash "$CLAUDE_PROJECT_DIR/packs/monitoring/continuous-monitor/scripts/run-monitoring.sh" <subject> "run-$(date -u +%Y%m%dT%H%M%SZ)-manual"

Review the digest (the in-session equivalent of the review PR's body, #525) and inspect the raw result -- <run-dir> is reports/_monitoring/<subject>/runs/<run-id> for a domain, reports/<subject>/monitoring/runs/<run-id> for a topic:

cat "<run-dir>/digest.md"
jq . "<run-dir>/recommendations.json"

Gate the batch in-session (merge/close of the review PR is the Actions equivalent): accept with true, reject with false -- accept appends the batch to the prior-coverage memory and, for a topic-bound subject, publishes findings via the Output Router:

bash "$CLAUDE_PROJECT_DIR/packs/monitoring/continuous-monitor/scripts/run-gate-and-publish.sh" <subject> <run-id> "<run-dir>/recommendations.json" true

Every recommendation reaching this file has already passed schema validation (schemas/monitoring-recommendation.schema.json) but has not yet passed the Editorial Gate — merging or closing the PR monitor.yml opens from it is what decides accept/reject; do not hand-run output-router.sh against it without going through editorial-gate.sh first (it enforces NFR6: every recommendation must already carry a valid gate stamp).

Check the Continuity Log for a skipped or failed source:

jq -c 'select(.event_type != "gate_rejected")' "reports/<topic-id>/monitoring/continuity-log.jsonl"

Constraints

Every connector is keyless by default (NFR2/NFR3); SEMANTIC_SCHOLAR_API_KEY/ NCBI_API_KEY are optional rate-limit enhancements, never required.
Every recommendation carries at least one MIF citation (NFR5), enforced in code — a citation-less recommendation raises rather than being produced.
No recommendation reaches reports/<topic>/findings/ without an explicit Editorial Gate accept (NFR6) — the fail-safe default on an undecided recommendation is reject, never accept-by-omission.